AI Hiring Tools Need I-O Science
Most AI in HR skips the science of measuring talent. We exist to fix that.
The Problem
AI is transforming how organizations hire, assess, and develop talent. But most AI hiring tools are built by engineers optimizing for speed, not by I-O psychologists optimizing for validity. The result is systems that look impressive but can't survive a validation study, an adverse impact audit, or a legal challenge. Faster hiring doesn't matter if the decisions are wrong or indefensible.
What We Do
We're an I-O psychology practice that uses AI to accelerate what the science has always required: rigorous job analysis, validated assessments, structured interviews, and defensible documentation. We build talent systems that are both AI-enabled and scientifically grounded. Every assessment we deliver comes with criterion-related validation (proof the test predicts real job performance), adverse impact analysis (testing for unfair bias), and documentation to federal hiring guidelines.
How We Operate
Science First
Every engagement starts with I-O methodology: job analysis, competency modeling, validation design. AI accelerates the work, it doesn't replace the science.
Defensible by Default
UGESP, SIOP Principles, APA Standards, EEOC guidance, NYC Local Law 144: compliance is built into our process, not bolted on after.
Expert Network
Our talent pool includes credentialed domain experts: engineers, physicians, attorneys, scientists, whose subject matter knowledge powers every assessment we build.
The Team
We're I-O psychologists, psychometricians, and HR technologists. We've built and validated assessment systems, designed HR automation workflows, and seen firsthand what happens when AI hiring tools skip the science. We maintain a network of domain experts: engineers, physicians, attorneys, scientists, whose subject matter knowledge powers every system we build.